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Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints

Summary: Shows minimum-change repairs fail when errors co-occur; uses Bayesian inference to score conflicting cells and pinpoint erroneous attribute values instead of minimal edits. Introduces provably scalable parallel conflict detection and incremental, parallel error-detection algorithms. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
ha36d2b9c62b3e259
Venue
SIGMOD
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,529 | 29.21%
DOI
10.1145/3749174

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{chen_sigmod26,
        title = {{Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints}},
        author = {Chen, Jiahui and Sun, Yu and Song, Shaoxu and Zhang, Haiwei and Yuan, Xiaojie},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3749174},
        url = {https://dl.acm.org/doi/10.1145/3749174},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
104 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00033690989
350 Discovering Denial Constraints 2013 VLDB 0.00020253521
483 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00017590977
547 ERACER: A Database Approach for Statistical Inference and Data Cleaning 2010 SIGMOD 0.00016578131
652 Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes 2013 SIGMOD 0.00015121325
883 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013268059
1,099 KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing 2015 SIGMOD 0.00012037058
1,344 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00010956518
1,348 Sampling the Repairs of Functional Dependency Violations under Hard Constraints 2010 VLDB 0.0001094733
1,805 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 9.59842e-05
2,051 Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms 2016 VLDB 9.1199511e-05
2,371 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 8.5615698e-05
2,423 BigDansing: A System for Big Data Cleansing 2015 SIGMOD 8.4877894e-05
2,960 Auto-Detect: Data-Driven Error Detection in Tables 2018 SIGMOD 7.8075103e-05
3,263 Automatic Data Repair: Are We Ready to Deploy? 2024 VLDB 7.4809771e-05
4,347 Horizon: Scalable Dependency-driven Data Cleaning 2021 VLDB 6.6469984e-05
5,280 Fast Approximate Denial Constraint Discovery 2023 VLDB 6.1992888e-05
5,388 Explaining Repaired Data with CFDs 2018 VLDB 6.151535e-05
5,742 An Operational Approach to Consistent Query Answering 2018 PODS 6.0108123e-05
6,525 Parallel Discrepancy Detection and Incremental Detection 2021 VLDB 5.756805e-05
7,869 Uniform Operational Consistent Query Answering 2022 PODS 5.4364271e-05
10,104 Combined Approximations for Uniform Operational Consistent Query Answering 2024 PODS 5.0789354e-05
10,106 Efficient Differential Dependency Discovery 2024 VLDB 5.0789354e-05
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